Instructions to use Alissonerdx/flux.1-dev-SRPO-LoRas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alissonerdx/flux.1-dev-SRPO-LoRas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alissonerdx/flux.1-dev-SRPO-LoRas", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images/compare_oficial_lora_prompt_12.png from Alissonerdx/flux.1-dev-SRPO-LoRas: direct link, hf CLI and curl.
- Browser
- Download file 5.98 MB
-
https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_12.png
- Command line
-
hf download hf://Alissonerdx/flux.1-dev-SRPO-LoRas/images/compare_oficial_lora_prompt_12.png
-
curl -L -o compare_oficial_lora_prompt_12.png https://huggingface.co/Alissonerdx/flux.1-dev-SRPO-LoRas/resolve/main/images/compare_oficial_lora_prompt_12.png
5.98 MB

- Xet hash:
- 65f80ac966f8d028e2719ae373536771f3029311ccabab3a449e7ecdad5f5fb5
- Size of remote file:
- 5.98 MB
- SHA256:
- c7fc0f23fe18cefe3accdafaeb399cb8a1f6ff52fd2032ea4212c7797cad989e
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